Crop Phenotyping System AI and Machine Learning Patents
Flat, not growing. filings peaked at 9 in 2022 and the trend has not exceeded that midpoint since — this is a stalled wave, not an accelerating one. Filings rose from 2 in 2017 to a peak of 9 in 2022, then fell back. With 2022 sitting at the midpoint of the whole run, the field shows no sustained growth — the interest wave that produced the 2022 peak has not been followed by a second one, at least in what has published so far.
- 1AGRI VICTORIA SERVICES PTY LTD6
- 2CROCUS LABS GMBH3
- 3DEERE & CO2
- 4VAIDEGHY A1
- 5SAYALI PRAKASH SHINDE1
See the full crop phenotyping system ai and machine learning analysis in Eureka
- The complete ranking, not just the top five
- Every IPC branch with its share of the corpus
- The most-cited records, and where claim space is still thin
Common questions about this landscape
How many patents exist for crop phenotyping AI and machine learning systems?
This dataset tracks 17 patent families published between 2015 and mid-2026 that combine phenotyping platform claims with machine learning, computer vision or deep learning methods. That is a small, specialised corpus compared to broader agtech categories, reflecting how narrowly the search string targets the AI-plus-phenotyping intersection rather than agricultural imaging in general. Because publication lags filing by around 18 months, the true 2025-2026 filing count is almost certainly higher than what has published so far.
Who are the leading companies in crop phenotyping patents?
No single company holds a dominant position in this corpus; CROCUS LABS GMBH holds the most-cited representative filing, covering a controlled-environment cultivation system with an integrated machine learning module, while much of the remaining activity comes from individual researchers and academic co-filing groups rather than large corporate portfolios. The co-assignee network shows every pairing at a single joint filing, which is the pattern of an early-stage, not-yet-consolidated field. Anyone scanning for an acquisition target or licensing partner should look at filing quality and citation counts rather than portfolio size, since none of the tracked assignees have built a large one yet.
Is patent filing activity in crop phenotyping AI growing or slowing down?
Filings rose from 2 in 2017 to a peak of 9 in 2022 and have declined since, with the most recent tracked years showing no filings at all. Because 2022 sits at the midpoint of the observed range, the honest read is flat-to-declining rather than growing, though the last one to two years are undercounted due to publication lag. If you are timing an entry, treat the current data as a lull rather than confirmed contraction until another 12-18 months of publications land.
Disclaimer. This analysis is based on Patsnap Eureka data drawn from a limited snapshot of global patent records and is provided for general information and reference only. Patent data carries inherent limitations — recent filings are under-counted because of publication lag, counts may be on a record or family basis, classification and applicant-name data may contain errors or duplicates, and the underlying search query defines the scope shown — so the analysis may be incomplete or inaccurate and may not reflect the full technology landscape.
Nothing here is an exhaustive prior-art, novelty, freedom-to-operate or validity search, nor does it constitute legal, financial or professional advice, and it should not be relied upon as such. Verify independently and review with qualified patent and legal professionals before acting on it.
Method: Filing trend and technology composition. Derived from a Patsnap search on Crop Phenotyping System AI and Machine Learning covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish. Every share divides by all records in scope. Data: Patsnap Eureka. See the full landscape report.